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研究生： 魏凌飛
Wei, Ling-Fei
論文名稱： 運用於3D影像系統中深度圖之動態補償IIR濾波器演算法及硬體設計
Algorithm and Architecture Design of Motion Compensated Infinite Impulse Response Filters for Depth Maps in 3D Video System
指導教授： 李國君
Lee, Gwo Giun
學位類別： 碩士
Master
系所名稱： 電機資訊學院 - 電機工程學系
Department of Electrical Engineering
論文出版年： 2011
畢業學年度： 99
語文別： 英文
論文頁數： 75
中文關鍵詞： 3D影像系統 、深度圖 、動態補償
外文關鍵詞： 3D video system, depth maps, motion compensated
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    • 本論文提出一個可運用於3D影像系統中深度圖之動態補償IIR濾波器，此濾波器被運用在深度圖的後處理。在不合理的深度圖被用來參考並渲染成立體影像對時，有可能會造成人眼視覺對立體影像對的對焦困難與畫面抖動，利用我們提出來的濾波器對深度圖作濾波，可以將此一現象之程度降低，增加人眼對所渲染的立體影像對焦與觀賞的舒適度。所提出的演算法並包含運動量值的計算，因此本演算法可以根據不同的程度運動量值大小去適應地調節濾波器係數以適用於不同場景，結果顯示經過我們提出的濾波器所後處理過的深度圖，在渲染成立體像對後的視訊品質有變好的效果。
    本論文並針對所提出的演算法作硬體架構的設計分析，透過設計空間的展開，按照從高層級往下設計之流程，在不同的層級中萃取出硬體架構的資訊並由上層級往下探索，以一套有系統之設計流程探索出符合規格的最佳解並為硬體架構之設計。

    The thesis proposed a motion compensated infinite impulse response filters algorithm for depth maps in 3D video system. The filter is used for post-processing of depth maps. If inappropriate depth maps are used to render stereo image pairs, the view of rendered image would flicker and become difficult to be converged by human’s eyes. Our proposed filter can be adopted to filter depth maps so as to relief the uncomfortable visual effect when human’s eye is focusing on the rendered image pair. Our proposed algorithm contains calculation of motion magnitude, and the coefficient of our filter is adaptive to motion magnitude to be applicable in different scene. The result shows that the visual quality of rendered image pair is improved after the used depth maps are post-processed by our proposed algorithm.
    The thesis also proposed architecture design of our algorithm. Following the top-down design flow methodology, we expand the design space, extract architectural information and explore from top to lower levels of abstraction. By the systemic approach, the optimal solution which meets the specification we explored in design space will mapped to our architecture design.

    Abstract ii Table of Contents iv List of Figures vii List of Tables x Chapter 1 Introduction 1 1.1 Background 1 1.2 Motivation 2 1.3 Organization of this Thesis 2 Chapter 2 Literature Review 4 2.1 Digital Filter 4 2.1.1 FIR Filter 4 2.1.2 IIR Filter 5 2.1.3 Comparison Between FIR and IIR 6 2.2 Motion Compensated Temporal filter 7 2.2.1 Spatial Temporal Sampling of Video Sequences 8 2.2.2 Motion and Its Spatial Temporal Representation 9 2.2.3 Motion Compensated Temporal Filtering 11 2.2.4 Motion Estimation Algorithm used: Three-dimensional (3-D) Recursive ME Algorithm 14 Chapter 3 Proposed Post-processing Filters for Depth Maps 17 3.1 Motivation 17 3.2 Post-processing example: Depth Maps Generated by Original 2D to 3D Algorithm 18 3.3 The Concept of Proposed Algorithm 20 3.4 Proposed Post-processing Filters 22 3.5 Coefficient Evaluation 23 3.6 Mapping Function for Motion Magnitude to Coefficient of IIR Filters 26 Chapter 4 Proposed Architecture Design 32 4.1 Design Specification 32 4.2 Introduction to Architecture Design 33 4.2.1 Introduction to Top-down Architecture Design flow 33 4.2.2 Introduction to Complexity Analysis 36 4.2.3 Introduction to Design Space Exploration 39 4.3 Proposed Architecture 41 4.3.1 Block Diagram of Proposed Architecture 41 4.3.2 Number of Operations 43 4.3.3 Degree of Parallelism 46 4.3.4 Pipeline Depth 48 4.3.5 Clock Rate 48 4.3.6 Memory Requirements 56 4.3.7 Data Transfer and Bandwidth 57 4.3.7.1 Bandwidth 57 4.3.7.2 Bus Bit Width 58 4.4 Exploration Result 60 4.5 Processing Element Design 61 Chapter 5 Experimental Results and Verification 63 5.1 Experimental Results 63 5.1.1 Temporal Improvement 63 5.1.2 Spatial Improvement 68 5.2 Verification 71 5.2.1 Verification in High Level Modeling 71 Chapter 6 Conclusions and Future Work 73 References 74

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